Impact of Data Storage Technologies in Key Sectors (Technical Insights)

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1 Impact f Data Strage Technlgies in Key Sectrs (Technical Insights) Unleashing newer applicatins with advanced data strage technlgies June, 2015

2 Cntents Cntent Slide N. Executive Summary 4 Research Outline 5 Research Methdlgy 6 Key Findings 8 Technlgy Landscape 9 Data Strage Technlgies Overview 10 Key Data Strage Technlgies 12 Factrs Influencing Adptin f DST 15 Glbal Innvatin Indicatrs 19 Patent Trends 20 Funding Scenari 23 2

3 Cntents (Cntinued) Cntent Slide N. Breadth f Applicatins impacted 24 Impact f Data Strage Technlgies acrss Sectrs 25 Cnsumer Electrnics 26 Industrial 27 Energy Distributin 28 Autmtive and Transprtatin 29 Healthcare 30 Impact Assessment f DST in Key Applicatins 31 Technlgy Adptin Index 32 Future Prspects f DST 39 Key Patents 43 The Frst & Sullivan Stry 50 3

4 Research Scpe Data strage technlgies (DSTs) have been recently adpted fr explring different applicatins acrss sectrs. The future f DSTs and their market implicatins will be determined by the breadth and depth f their applicatin ptential and their ability t unleash a whle new wrld f applicatin segments and pprtunities. Frm ffering high-density strage capabilities t advanced management systems, data strage technlgies can be expected t have a high impact in varius sectrs. The key sectrs that can be expected t widely adpt data strage technlgies include cnsumer electrnics, autmtive and transprtatin, industrial, healthcare, and energy distributin. Data Strage technlgies prmise t pssess a very ptimistic scenari and their prspects in the future are expected t impact multiple sectrs. This research service ffers insights n the impact f data strage technlgies acrss key sectrs such as cnsumer electrnics, industrial, energy distributin, healthcare, and autmtive and transprtatin. The research scpe f this research service with regard t data strage technlgies is limited t MRAM (Magnetresistive randm-access memry), FRAM (Ferrelectric Randm Access Memry), PCM (Phase-change memry), RRAM/ ReRAM (Resistive randm-access memry), DRAM (Dynamic randm-access memry), and SRAM (Static randm-access memry). This research service als ffers insights n applicatins that might evlve in the next 5 t 6 years. This research service cvers varius data strage technlgies frm varius technlgy and market dimensins. The cverage includes: Technlgy landscape Applicatins assessment Factrs influencing develpment and adptin Key drivers and challenges Glbal trends and innvatin indicatrs Breadth f applicatins impacted Technlgy and applicatin radmaps shwing the future prspect f DSTs Strategic insights abut market and emerging trends 5

5 Research Methdlgy Technlgy Jurnals Peridicals Market Research Services Technlgy plicy infrmatin sites Internal databases Thught Leader Briefings Patent Review Technlgy Analysis Applicatins Secndary Research Primary Research Innvatrs & Innvatins Interview Participants Assess Industry Innvatin Ecsystem Market Analysis Engineers CTOs/ CEOs/ CIOs Technical Architects Research Heads Strategic Decisin Makers Technlgy Plicy Heads Stakehlder Stakehlder Insights, Insights, Perspectives Perspectives & Strategies & Strategies Outcme: New Prduct Develpment (NPD), Key applicatins/sectrs, Impact f applicatins acrss the key sectrs Surce: Frst and Sullivan 6

6 Research Methdlgy (cntinued) Step 1: T prvide a thrugh analysis f each tpic, Technical Insights analysts perfrm a review f patents t becme familiar with the majr develpers and cmmercial participants and their prcesses. Step 2: Building n the patent search, the analysts review abstracts t identify key scientific and technical papers that prvide insights int key industry participants and the technical prcesses, n which they wrk. Step 3: The analysts then create a detailed questinnaire with cntent created t address the research bjectives f the study, which functins as a guide during the interview prcess. While the analysts use structured questinnaires t guarantee cverage f all the desired issues, they als cnduct interviews in a cnversatinal style. This apprach results in a mre thrugh exchange f views with the respndents, and ffers greater insight int the relevant issues than mre structured interviews may prvide. Step 4: The analysts cnduct primary research with key industry participants and technlgy develpers t btain the required cntent. Interviews are cmpleted with surces lcated thrughut the wrld, in universities, natinal labratries, gvernmental and regulatry bdies, trade assciatins, and end-user cmpanies, amng ther key rganizatins. Our analysts cntact the majr cmmercial participants t find ut abut the advantages and disadvantages f prcesses and the drivers and challenges behind technlgies and applicatins. Our analysts talk t the principal develpers, researchers, engineers, business develpers, analysts, strategic planners, and marketing experts, amng ther prfessinals. Step 5: The prject management and research team reviews and analyzes the research data that are gathered and adds its recmmendatins t the draft f the final study. Having cnducted bth published studies and custm prprietary research cvering many types f new and emerging technlgy activities as well as wrldwide industry analysis, the management and research team adds its perspective and experience t prvide an accurate, timely analysis. The analysts then prepare written final research services fr each prject and smetimes present key findings in analyst briefings t clients. Surce: Frst and Sullivan 7

7 Key Findings Need fr lw pwer cnsumptin, high endurance, high speed read-write cycle and enterprise data strage at a cheaper cst, acts as the majr drivers fr DST develpment. The cnsumer electrnics industry can be expected t develp data strage technlgy-based applicatins, which wuld have a high impact in the next five t six years. The smartphne industry is currently lking fr a lw-cst, high perfrmance, and high density data strage capacity. The DSTs can be expected t blster the wearables market in the near term. Key Findings Adptin Prspects With increased research and develpment f unmanned vehicles, wide scale adptin f advanced driver assistance systems using DSTs can be expected in three t five years. Increased adptin f smart meters culd lead t the develpment f advanced pwer distributin systems. Varius funding agencies acrss the glbe are actively funding the research and develpment f data strage technlgies fr varius sectrs. Cnsumer electrnics OEMs (Original equipment manufacturers) are investing n develping data strage technlgies t cmplement the increase in adptin f smart devices. The United Stated leads the wrld in the number f patents filed n data strage technlgies (MRAM, FRAM, PCM, RRAM, SRAM, DRAM) ver the last five years, fllwed by China, Republic f Krea, and Japan. 8

8 Technlgy Snapsht & Significance Tech Overview Data strage is defined by the amunt f infrmatin a device can manage r accmmdate. Sme f the examples f such devices include: cmpact discs (CDs), digital versatile discs (DVDs), flppy disks, Blu-Ray discs, hard disk drives (HDDs), Integrated circuit (IC) memry, and slid-state drives (SSDs). Earlier strage media such as paper media and punched cards prved t be slw and inefficient leading t the develpment f magnetic strage devices. Remvable data strage media such as flppy disks, hard disk drives, and magnetic tape reels were then available. With the increasing need fr cmputers t stre mre data, different types f technlgies, cncepts, and prducts evlved and are cntinuing t evlve. Need fr Data Strage Technlgies The rapid increase in strage capacity and the miniaturizatin f electrnic devices demand new recrding technlgies and materials that cmbine high density, fast respnse, lng retentin time and rewriting capability. Mst cmmnly used and cmmercially available DSTs include magnetic and ptical data strage systems. T meet the grwing industry demands and t achieve ultra high-density data strage, alternative nvel technlgies are being explred. Surce: Frst and Sullivan 10

9 Applicatins Landscape Industrial DST can be used t develp human-machine interactive systems fr industry purpses and fr industrial autmatin. Energy and pwer distributin DST has been used t develp smart grids and smart meters which finds applicatin in string large amunts f data. Healthcare DST can be used t develp wearable and fitness tracking devices. The instruments can be used fr treatment purpses. Autmtive and Transprtatin DST can be used t develp advanced navigatin systems. It culd als be used t develp black bx which finds applicatin in aerspace and defense as well. Cnsumer Electrnics DST can be expected t create a majr impact in the develpment f cnsumer electrnics in the near term. Highdensity data strage withut any pwer cnsumptin frm ther surces are sme f the unique prperties ffered by the emerging data strage technlgies. Surce: Frst and Sullivan 11

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